Open AccessImproved image quality of low-dose CT combining with iterative model reconstruction algorithm for response assessment in patients after treatment of malignant tumor
Author(s) -
Xiaoyan Xin,
Jingtao Shen,
Shangwen Yang,
Song Liu,
Anning Hu,
Bin Zhu,
Yan Jiang,
Baoxin Li,
Bing Zhang
Publication year - 2018
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims.2018.08.05
Subject(s) - algorithm , computer science , image quality , computed tomography , quality (philosophy) , medicine , radiology , medical physics , artificial intelligence , image (mathematics) , philosophy , epistemology
To evaluate the image quality and radiation dose of low-dose (LD) computed tomography (LD-CT) combining with iterative model reconstruction (IMR) algorithm for response assessment in patients after treatment of malignant tumor compared with routine-dose CT (RD-CT).